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# Top SQL Server Alternatives & Competitors For 2026 

Last Updated: September 1st, 2026 

Looking for alternatives to [SQL Server](https://www.selecthub.com/p/relational-database-solutions/sql-server/)? Many users crave user-friendly and feature-rich solutions for tasks like Data Definition and Manipulation, Querying, and Transaction Management. Leveraging crowdsourced data from over 1,000 real [Relational Databases](https://www.selecthub.com/c/relational-database-solutions/) selection projects based on 400+ capabilities, we present a comparison of SQL Server to leading industry alternatives like IBM DB2, MySQL, Amazon Aurora, and Google Cloud SQL. 

Remove Add to Compare 

Select Product Amazon Aurora Amazon RDS Apache Phoenix Azure SQL Database Firebird Google Cloud SQL HSQLDB IBM DB2 MariaDB MySQL Oracle Database PostgreSQL SAP ASE SAP HANA Cloud SQL Server SQLite 

[![SQL Server Software Tool](https://cdn.selecthub.com/products/a666587afda6e89aec274a3657558a27-8759bcb7bc50f5bc4ab9ba5877a2585f/resources/normal/logo.png?1693316169)](https://www.selecthub.com/p/relational-database-solutions/sql-server/) 

[ ![Product Awards](https://www.selecthub.com/display/images/awards_badge.svg) ](#awards-section) 

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Select Product Amazon Aurora Amazon RDS Apache Phoenix Azure SQL Database Firebird Google Cloud SQL HSQLDB IBM DB2 MariaDB MySQL Oracle Database PostgreSQL SAP ASE SAP HANA Cloud SQL Server SQLite 

[![IBM DB2 Software Tool](https://cdn.selecthub.com/products/89f0fd5c927d466d6ec9a21b9ac34ffa-8c0a9abe88dccc0177aff2648bfc8b12/resources/normal/logo.png?1729564751)](https://www.selecthub.com/p/relational-database-solutions/ibm-db2/) 

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Select Product Amazon Aurora Amazon RDS Apache Phoenix Azure SQL Database Firebird Google Cloud SQL HSQLDB IBM DB2 MariaDB MySQL Oracle Database PostgreSQL SAP ASE SAP HANA Cloud SQL Server SQLite 

[![MySQL Software Tool](https://cdn.selecthub.com/products/a70dc40477bc2adceef4d2c90f47eb82-8a796f9ffe4ffa3c6b9c68a012a1ddf2/resources/normal/logo.png?1729565285)](https://www.selecthub.com/p/relational-database-solutions/mysql/) 

Remove Add to Compare 

Select Product Amazon Aurora Amazon RDS Apache Phoenix Azure SQL Database Firebird Google Cloud SQL HSQLDB IBM DB2 MariaDB MySQL Oracle Database PostgreSQL SAP ASE SAP HANA Cloud SQL Server SQLite 

[![Amazon Aurora Software Tool](https://cdn.selecthub.com/products/35717dde349c0e37db826b95ca6c44fd-71902312f609b45b47ee32eda17da132/resources/normal/logo.png?1729563979)](https://www.selecthub.com/p/relational-database-solutions/amazon-aurora/) 

[ ![Product Awards](https://www.selecthub.com/display/images/awards_badge.svg) ](#awards-section) 

Remove Add to Compare 

Select Product Amazon Aurora Amazon RDS Apache Phoenix Azure SQL Database Firebird Google Cloud SQL HSQLDB IBM DB2 MariaDB MySQL Oracle Database PostgreSQL SAP ASE SAP HANA Cloud SQL Server SQLite 

[![Google Cloud SQL Software Tool](https://cdn.selecthub.com/products/238e625ff1f20b656f8986f42a76092f-c35a81343b3f369827914ed0a45be367/resources/normal/logo.png?1729564434)](https://www.selecthub.com/p/relational-database-solutions/google-cloud-sql/) 

[Get Free Demo](https://pmo.selecthub.com/get-product-demo/?category=Relational+Databases&product%5Fname=SQL%2BServer&product%5Flogo=https%3A%2F%2Fd3uimxdj41cg3o.cloudfront.net%2Fproducts%2Fa666587afda6e89aec274a3657558a27-8759bcb7bc50f5bc4ab9ba5877a2585f%2Fresources%2Fnormal%2Flogo.png%3F1693316169) 

[Get Free Demo](https://pmo.selecthub.com/get-product-demo/?category=Relational+Databases&product%5Fname=IBM%2BDB2&product%5Flogo=https%3A%2F%2Fd3uimxdj41cg3o.cloudfront.net%2Fproducts%2F89f0fd5c927d466d6ec9a21b9ac34ffa-8c0a9abe88dccc0177aff2648bfc8b12%2Fresources%2Fnormal%2Flogo.png%3F1729564751) 

[Get Free Demo](https://pmo.selecthub.com/get-product-demo/?category=Relational+Databases&product%5Fname=MySQL&product%5Flogo=https%3A%2F%2Fd3uimxdj41cg3o.cloudfront.net%2Fproducts%2Fa70dc40477bc2adceef4d2c90f47eb82-8a796f9ffe4ffa3c6b9c68a012a1ddf2%2Fresources%2Fnormal%2Flogo.png%3F1729565285) 

[Get Free Demo](https://pmo.selecthub.com/get-product-demo/?category=Relational+Databases&product%5Fname=Amazon%2BAurora&product%5Flogo=https%3A%2F%2Fd3uimxdj41cg3o.cloudfront.net%2Fproducts%2F35717dde349c0e37db826b95ca6c44fd-71902312f609b45b47ee32eda17da132%2Fresources%2Fnormal%2Flogo.png%3F1729563979) 

[Get Free Demo](https://pmo.selecthub.com/get-product-demo/?category=Relational+Databases&product%5Fname=Google%2BCloud%2BSQL&product%5Flogo=https%3A%2F%2Fd3uimxdj41cg3o.cloudfront.net%2Fproducts%2F238e625ff1f20b656f8986f42a76092f-c35a81343b3f369827914ed0a45be367%2Fresources%2Fnormal%2Flogo.png%3F1729564434) 

### Product Insights 

 Overall Rating Comparison 

[ Analyst Rating SQL Server - Analyst Score: 81 out of 100 81 Detailed Analysis ](#analyst-rating-section) [  User Sentiment ![Great User Sentiment](https://www.selecthub.com/display/images/scores/great.svg) (7780 Reviews) ](#user-sentiment-section) 

[ Analyst Rating IBM DB2 - Analyst Score: 83 out of 100 83 Detailed Analysis ](#analyst-rating-section) [  User Sentiment ![Great User Sentiment](https://www.selecthub.com/display/images/scores/great.svg) (1235 Reviews) ](#user-sentiment-section) 

[ Analyst Rating MySQL - Analyst Score: 71 out of 100 71 Detailed Analysis ](#analyst-rating-section) [  User Sentiment ![Great User Sentiment](https://www.selecthub.com/display/images/scores/great.svg) (4725 Reviews) ](#user-sentiment-section) 

[ Analyst Rating Amazon Aurora - Analyst Score: 79 out of 100 79 Detailed Analysis ](#analyst-rating-section) [  User Sentiment ![Excellent User Sentiment](https://www.selecthub.com/display/images/scores/excellent.svg) (668 Reviews) ](#user-sentiment-section) 

[ Analyst Rating Google Cloud SQL - Analyst Score: 73 out of 100 73 Detailed Analysis ](#analyst-rating-section) [  User Sentiment ![Great User Sentiment](https://www.selecthub.com/display/images/scores/great.svg) (535 Reviews) ](#user-sentiment-section) 

Price Starts From 

$1,418 Annually 

[Free Trial is available →](https://pmo.selecthub.com/free-trial/?product%5Fname=SQL Server&category=Relational Databases&product%5Flogo=https://d3uimxdj41cg3o.cloudfront.net/products/a666587afda6e89aec274a3657558a27-8759bcb7bc50f5bc4ab9ba5877a2585f/resources/normal/logo.png?1693316169) 

$1,373 Monthly, Freemium 

[Free Trial is available →](https://pmo.selecthub.com/free-trial/?product%5Fname=IBM DB2&category=Relational Databases&product%5Flogo=https://d3uimxdj41cg3o.cloudfront.net/products/89f0fd5c927d466d6ec9a21b9ac34ffa-8c0a9abe88dccc0177aff2648bfc8b12/resources/normal/logo.png?1729564751) 

$2,140 Annually 

[Free Trial is available →](https://pmo.selecthub.com/free-trial/?product%5Fname=MySQL&category=Relational Databases&product%5Flogo=https://d3uimxdj41cg3o.cloudfront.net/products/a70dc40477bc2adceef4d2c90f47eb82-8a796f9ffe4ffa3c6b9c68a012a1ddf2/resources/normal/logo.png?1729565285) 

$0.06/ACU Hour, Usage-Based 

Free Trial is unavailable → 

$0.054/vCPU Hour, Usage-Based 

[Free Trial is available →](https://pmo.selecthub.com/free-trial/?product%5Fname=Google Cloud SQL&category=Relational Databases&product%5Flogo=https://d3uimxdj41cg3o.cloudfront.net/products/238e625ff1f20b656f8986f42a76092f-c35a81343b3f369827914ed0a45be367/resources/normal/logo.png?1729564434) 

Pros 

* **Reliability and Performance:** Users consistently praise SQL Server's stability, speed, and ability to handle large, complex workloads with minimal downtime.
* **Security:** SQL Server offers robust security features, including multi-layered encryption, access controls, and active threat detection, to safeguard sensitive data.
* **Scalability:** Users appreciate the ability to easily scale SQL Server to meet evolving data needs without compromising performance or incurring significant costs.
* **Integration with Microsoft Ecosystem:** Seamless integration with other Microsoft tools and services, such as Azure cloud services and Power BI, enhances productivity and data management capabilities.

* **Scalability for Large Datasets:** IBM DB2 excels in managing large datasets, making it suitable for applications that demand high scalability and performance as data volumes grow.
* **Strong Security Features:** DB2 is known for its robust security features, including encryption and access controls, making it a suitable choice for businesses handling sensitive information.
* **User-Friendly Interface:** Many users praise DB2 for its ease of use and administration, particularly its straightforward installation process, which simplifies setup and management tasks.

* **Cost-Effective:** MySQL offers a free community edition, which is appealing to businesses watching their budget.
* **Scalability:** MySQL is well-suited for growing businesses because it can manage large quantities of data and user traffic.
* **Ease of Use:** MySQL is relatively simple to learn, especially for users already familiar with SQL.
* **Strong Community Support:** As an open-source platform, MySQL has a large and active community that provides support and resources.

* **High Performance:** Amazon Aurora is recognized for its speed, often surpassing traditional database speeds. It's been noted to achieve up to five times the speed of standard MySQL databases and three times that of PostgreSQL.
* **Scalability for Demanding Applications:** Aurora's automatic scaling feature allows it to adjust to sudden increases in traffic, ensuring smooth operation during peak periods without service interruptions.
* **Reliability and Ease of Management:** Aurora simplifies database management tasks, freeing up businesses to focus on other priorities. Its reliability and ease of use make it a popular choice for businesses seeking a dependable database solution.

* **Fully Managed:** Google Cloud SQL takes care of infrastructure management, software updates, backups, and security patches, allowing you to focus on application development instead of database administration.
* **High Availability:** Cloud SQL offers built-in high availability, automatically replicating your data across multiple zones for increased redundancy. This ensures the database remains accessible, even in a zone failure, minimizing downtime and providing increased reliability for applications.
* **Scalability:** Cloud SQL provides easy scaling options, allowing you to handle increasing workloads without worrying about capacity constraints. Users can easily adjust the performance of their databases by increasing or decreasing the available resources.

Cons 

* **Licensing Cost:** Can be expensive for large deployments, especially with Enterprise editions and complex licensing requirements.
* **Complexity:** Managing and maintaining SQL Server, particularly in large environments, can require specialized skills and expertise.
* **Limited Cloud Flexibility:** While Azure SQL Managed Instance offers managed cloud services, on-premises deployments might require additional effort for cloud migration and management.
* **Vendor Lock-in:** Switching from SQL Server to other database systems can be complex due to its proprietary nature and T-SQL language.

* **Cost:** IBM Db2 is a significant investment, potentially straining IT budgets, especially for smaller companies.
* **Resource Intensive:** Db2 requires robust hardware for optimal performance, which can increase operational costs.
* **Complex User Interface:** Some users find the interface and tools less intuitive compared to other database management systems, leading to a steeper learning curve.

* **Complex Queries:** Users have reported that MySQL can be difficult to work with when handling complex queries.
* **Large Database Imports:** Some users have cited challenges when attempting to import large databases into MySQL.
* **Advanced Function Limitations:** A few users have noted that MySQL may have limitations in its advanced functionality, particularly when compared to other database solutions.
* **Performance Under High Loads:** There have been reports of MySQL experiencing performance issues when subjected to high loads, which could be a concern for businesses with demanding database requirements.

* **Pricing Complexity:** Deciphering the pricing structure can be a challenge for some users, potentially leading to unexpected costs.
* **Limited Shutdown Capability:** Unlike some traditional database systems, Aurora doesn't offer a straightforward shutdown option, potentially impacting cost optimization in certain scenarios.
* **Potential for Legacy Bugs:** Due to its close relationship with MySQL, Aurora may inherit pre-existing bugs from MySQL, even those already addressed in newer MySQL versions.

* **Accidental Deletion Risk:** One significant drawback is the risk of accidental data loss. Deleting a Cloud SQL instance results in the permanent removal of all associated data, including backups. While this is clearly stated in the documentation, it can have serious consequences if an instance is deleted accidentally, highlighting the need for stringent access controls and automated export mechanisms.
* **Performance Concerns with Large Datasets:** While Cloud SQL performs well for typical workloads, it may encounter limitations when dealing with extensive datasets and intricate queries. Its scalability is primarily focused on horizontal scaling, which might not be sufficient for handling substantial data growth or complex analytical requirements.
* **Customer Support Challenges:** Some users have reported that customer support for Cloud SQL could be more responsive and helpful. This can be a concern for businesses that require timely assistance with technical issues or have complex support needs.

### Our Review 

 SQL Server continues to be a popular choice for database management, with user reviews highlighting both its strengths and weaknesses. Reliability and performance remain key selling points. Users praise its stability, speed, and ability to handle demanding workloads, making it a trusted choice for mission-critical applications. However, licensing costs can be a significant barrier, especially for larger deployments compared to open-source alternatives like PostgreSQL. Security is another forte, with users appreciating its multi-layered approach to protecting sensitive data. However, its complexity can be daunting, requiring specialized skills for administration and maintenance, particularly in larger environments. While Azure SQL Managed Instance offers managed cloud services, some users find on-premises deployments less flexible for cloud migration. Users acknowledge its rich set of tools and features, including SSMS, SSDT, and SSRS, for efficient database management, development, and analysis. Yet, they recognize vendor lock-in as a potential drawback, as switching to other systems can be challenging due to its proprietary nature and T-SQL language. Overall, SQL Server's reliability, performance, and security are highly valued. However, its cost, complexity, and limited cloud flexibility are common concerns. Users compare it favorably to PostgreSQL for affordability and open-source nature, while acknowledging its less mature feature set. Oracle Database is seen as a competitor for large-scale enterprise deployments, but users note its even higher cost and complexity. Ultimately, the choice comes down to specific needs and priorities. For users prioritizing reliability, security, and integration with the Microsoft ecosystem, SQL Server remains a compelling option. However, those seeking flexibility, lower costs, or open-source options might find PostgreSQL or other alternatives more attractive. 

Show more 

 Is IBM Db2 all its cracked up to be, or does it fall flat? IBM Db2 is a powerful database management system known for its scalability, reliability, and security features. Users consistently praise its stability and performance, particularly its ability to efficiently handle large data volumes. For instance, its advanced query optimization and parallel processing capabilities contribute to faster response times, making it a top choice for enterprises with demanding requirements. However, some users find the initial setup process complex and the user interface less intuitive compared to other systems. Additionally, while Db2 offers robust security features like encryption and access controls, its robust features and capabilities come at a significant cost, potentially posing a barrier for smaller businesses. Overall, IBM Db2 is best suited for large enterprises and organizations with high data volumes, complex workloads, and stringent security needs. Its ability to handle massive datasets efficiently, coupled with its robust security features, makes it a compelling choice for industries like finance, healthcare, and telecommunications. However, smaller businesses with limited budgets and technical expertise may find alternative database solutions more cost-effective and manageable. 

Show more 

 Is MySQL really my sequel to database success? User reviews from the last year reveal a generally positive sentiment towards MySQL, particularly for its ease of use and effectiveness in handling data, especially for beginners and small-scale projects. Users praise its intuitive interface and quick setup process, highlighting its compatibility with various platforms and the availability of plugins for seamless integration. For instance, users mention its suitability for WordPress platforms and its well-organized features for data management tasks like backups and table manipulation. However, some users point out limitations in handling large-scale projects and complex queries, suggesting that its performance might not be optimal for data-intensive applications. While MySQL is lauded for its robust features and cost-effectiveness, concerns about its scalability and the clarity of error messages are also raised. A differentiating factor is its open-source nature and strong community support, making it a cost-effective solution with readily available assistance. Users specifically appreciate the abundance of online forums and resources that aid in troubleshooting issues. Despite its strengths, MySQL might require a learning curve for beginners, and its suitability for large-scale projects with complex data requirements is questioned. Overall, MySQL appears to be a solid choice for individuals and businesses seeking an easy-to-use, reliable, and cost-effective database solution for small to medium-sized projects, particularly those involving web applications and dynamic websites. However, for large-scale projects demanding high performance and complex data handling, exploring alternative database management systems might be advisable. 

Show more 

 Is Amazon Aurora the northern lights of relational databases, illuminating a path toward data management excellence? User reviews from the past year suggest a resounding "yes," with Aurora shining brightly in the areas of performance, scalability, and managed services. Users rave about Aurora's ability to effortlessly handle demanding workloads, making it a top contender for businesses dealing with high-volume transactions. For instance, one user highlighted Aurora's exceptional performance, emphasizing its ability to process large datasets quickly, a crucial factor for their data analytics needs. This seamless scalability, coupled with its fully managed nature, frees up developers to focus on innovation rather than infrastructure management, a sentiment echoed by multiple users. However, like a constellation with a few dim stars, Aurora has some minor drawbacks. Some users point out the pricing complexity as a slight blemish on an otherwise stellar profile. Navigating the intricacies of Aurora's pricing model can be like trying to chart a course through an unfamiliar galaxy, requiring careful consideration and potentially leading to higher-than-expected costs if not managed diligently. Despite this, the overwhelming consensus is that Aurora's strengths far outweigh its weaknesses. Aurora's compatibility with MySQL and PostgreSQL, its automated scaling and backup features, and its high availability make it a compelling choice for businesses of all sizes. Its ability to seamlessly integrate with other AWS services further solidifies its position as a comprehensive data management solution. In essence, Amazon Aurora is best suited for organizations seeking a robust, scalable, and high-performance relational database solution, particularly those already immersed in the AWS ecosystem. While the pricing structure might require some getting used to, the overall value proposition of Aurora makes it a shining star in the world of cloud-based databases. 

Show more 

 Is Google Cloud SQL really all that it's cracked up to be? Recent user reviews suggest that Google Cloud SQL is a robust and user-friendly relational database service. Users praise its ease of use and implementation, highlighting the straightforward setup process and intuitive interface. A standout feature is the automated backup functionality, providing peace of mind in case of data loss. One user, a small business owner, lauded the quick deployment time and effortless scaling capabilities. However, some users expressed occasional dissatisfaction with customer support, citing instances of slow response times. When compared to similar products, Google Cloud SQL shines in its fully managed service approach. This means Google handles the heavy lifting of infrastructure management, software updates, and security patches, freeing up developers to focus on building and optimizing their applications. This fully managed aspect is a key differentiator, as it significantly reduces the operational overhead typically associated with database management. Users familiar with other cloud database solutions appreciate the seamless integration with other Google Cloud services, such as Compute Engine and Kubernetes Engine. This tight integration simplifies application deployment and data management within the Google Cloud ecosystem. Overall, Google Cloud SQL is best suited for businesses, particularly small to medium-sized enterprises, seeking a hassle-free, scalable, and reliable relational database solution. Its ease of use, automated features, and strong integration with the Google Cloud platform make it an attractive option for organizations looking to streamline their database operations without compromising on performance or security. However, businesses with mission-critical applications requiring round-the-clock support might need to weigh their options carefully, considering the mixed feedback on customer support responsiveness. 

Show more 

### Analyst Rating Summary 

Overall Scores 

Based on the research and analysis by SelectHub's team of research analysts, SQL Server has an analyst rating of 81\. By comparison to SQL Server alternatives, IBM DB2 has an analyst rating of 83, MySQL has an analyst rating of 71, Amazon Aurora has an analyst rating of 79, and Google Cloud SQL has an analyst rating of 73\. 

SQL Server - Analyst Score: 81 out of 100 81 

IBM DB2 - Analyst Score: 83 out of 100 83 

MySQL - Analyst Score: 71 out of 100 71 

Amazon Aurora - Analyst Score: 79 out of 100 79 

Google Cloud SQL - Analyst Score: 73 out of 100 73 

Features Comparison 

**Data Definition and Manipulation**  
Provides a structured framework for defining, storing, and manipulating data, enabling efficient data organization and retrieval. 

100 

100 

100 

100 

100 

**Data Integration and Interoperability**  
Facilitates seamless data integration and interoperability with other systems and applications, enabling efficient data sharing and analysis. 

93 

96 

89 

83 

70 

**Data Management and Partitioning**  
Offers efficient data management and partitioning capabilities, optimizing database performance and scalability for large-scale data storage and retrieval. 

86 

96 

81 

89 

74 

[Show More](#) [Show More](https://pmo.selecthub.com/customize-data/?category=Relational Databases) 

Strengths 

The best features of SQL Server, IBM DB2, MySQL, Amazon Aurora and Google Cloud SQL as judged by user reviews and analyst validation. 

Data Definition and Manipulation

Querying

Transaction Management

Integrations and Extensibility

Data Integration and Interoperability

Data Definition and Manipulation

Performance and Scalability

Querying

Transaction Management

Integrations and Extensibility

Data Definition and Manipulation

Transaction Management

Data Integration and Interoperability

Data Definition and Manipulation

Performance and Scalability

Integrations and Extensibility

Querying

Transaction Management

Data Definition and Manipulation

Transaction Management

Performance and Scalability

Security

### Analyst Ratings for Functional Requirements [Customize This Data](#) [Customize This Data](https://pmo.selecthub.com/customize-data/?category=Relational Databases) 

How all solutions compare against the top 6 functional requirements as defined by SelectHub project data. 

SQL Server IBM DB2 MySQL Amazon Aurora Google Cloud SQL 

\+ Add Product [\+ Add Product](https://pmo.selecthub.com/customize-data/?category=Relational Databases) 

Data Definition and Manipulation Data Integration AndInteroperability Data Management AndPartitioning Platform Capabilities Querying TransactionManagement 100 93 86 93 100 100 100 96 96 92 100 100 100 89 81 73 78 100 100 83 89 90 94 93 100 70 74 84 82 93 0 25 50 75 100 

Implementation Level of Effort Estimation 

**Supported:**  
Fully / moderately supported out-of-the-box allowing for quick and easy deployment. 

**Not Supported:**  
Requires workarounds, add-ons, partner integrations or custom development with or without additional costs. 

[Read more](#) 

**Data Definition and Manipulation**   
Provides a structured framework for defining, storing, and manipulating data, enabling efficient data organization and retrieval. 

100%

100%

100%

100%

100%

**Data Integration and Interoperability**   
Facilitates seamless data integration and interoperability with other systems and applications, enabling efficient data sharing and analysis. 

100%

100%

100%

75%

25%

25%

75%

**Data Management and Partitioning**   
Offers efficient data management and partitioning capabilities, optimizing database performance and scalability for large-scale data storage and retrieval. 

75%

25%

100%

50%

50%

75%

25%

25%

75%

**Platform Capabilities**   
Offers cross-platform compatibility, enabling organizations to deploy and manage databases across various operating systems and hardware platforms. 

83%

17%

83%

17%

50%

50%

83%

17%

67%

33%

**Querying**   
Provides powerful query languages, enabling users to retrieve, analyze, and manipulate data efficiently, supporting informed decision-making and business intelligence. 

100%

100%

75%

25%

100%

88%

12%

**Transaction Management**   
Ensures data consistency and integrity through robust transaction management, preventing data loss and ensuring accurate data processing. 

100%

100%

100%

100%

100%

### Analyst Ratings for Technical Requirements [Customize This Data](#) [Customize This Data](https://pmo.selecthub.com/customize-data/?category=Relational Databases) 

Implementation Level of Effort Estimation 

**Supported:**  
Fully / moderately supported out-of-the-box allowing for quick and easy deployment. 

**Not Supported:**  
Requires workarounds, add-ons, partner integrations or custom development with or without additional costs. 

[Read more](#) 

**Integrations and Extensibility**   
Seamlessly integrates with other applications and data sources, enabling organizations to build complex data solutions and leverage the power of data-driven insights. 

100%

100%

75%

25%

100%

50%

50%

**Performance and Scalability**   
Offers robust performance and scalability, enabling organizations to handle large datasets and complex queries efficiently, supporting business growth and critical applications. 

60%

40%

100%

60%

40%

100%

80%

20%

**Security**   
Prioritizes data security, safeguarding sensitive information through robust encryption, access controls, and data privacy measures. 

88%

12%

75%

25%

50%

50%

75%

25%

75%

25%

**Analyst Message:**In effort to simplify your complex software decisions, this information is based on all industries and company sizes. We advise you to drill further into our data to discover how this information looks for your unique needs. 

[CUSTOMIZE THIS DATA ](#) [CUSTOMIZE NOW](https://pmo.selecthub.com/customize-data/?category=Relational Databases) 

### User Sentiment Summary 

SQL Server has a user sentiment rating of 89 based on 7780 reviews. IBM DB2 has a user sentiment rating of 85 based on 1235 reviews. MySQL has a user sentiment rating of 88 based on 4725 reviews. Amazon Aurora has a user sentiment rating of 90 based on 668 reviews. Google Cloud SQL has a user sentiment rating of 89 based on 535 reviews. 

![Great User Sentiment](https://www.selecthub.com/display/images/scores/great.svg) 7780 reviews 

![Great User Sentiment](https://www.selecthub.com/display/images/scores/great.svg) 1235 reviews 

![Great User Sentiment](https://www.selecthub.com/display/images/scores/great.svg) 4725 reviews 

![Excellent User Sentiment](https://www.selecthub.com/display/images/scores/excellent.svg) 668 reviews 

![Great User Sentiment](https://www.selecthub.com/display/images/scores/great.svg) 535 reviews 

Synopsis 

Evaluating all review platforms, our market analysts have compiled the following user sentiment data. 

89% 

of users recommend this product

SQL Server has a 'great' User Satisfaction Rating of 89% when considering 7780 user reviews from 4 recognized software review sites. 

85% 

of users recommend this product

IBM DB2 has a 'great' User Satisfaction Rating of 85% when considering 1235 user reviews from 4 recognized software review sites. 

88% 

of users recommend this product

MySQL has a 'great' User Satisfaction Rating of 88% when considering 4725 user reviews from 4 recognized software review sites. 

90% 

of users recommend this product

Amazon Aurora has a 'excellent' User Satisfaction Rating of 90% when considering 668 user reviews from 3 recognized software review sites. 

89% 

of users recommend this product

Google Cloud SQL has a 'great' User Satisfaction Rating of 89% when considering 535 user reviews from 4 recognized software review sites. 

User Review Scores 

**G2.com, Inc** 

**4.4** (2221) 

**4.1** (672) 

**4.4** (1639) 

**4.5** (492) 

**4.5** (357) 

**Software Advice, Inc** 

n/a 

n/a 

n/a 

**4.6** (16) 

n/a 

**Capterra Inc** 

**4.6** (1980) 

**4.4** (52) 

**4.6** (2095) 

n/a 

**4.4** (8) 

**Gartner, Inc** 

**4.4** (1929) 

**4.7** (273) 

**4.8** (11) 

n/a 

**4.4** (80) 

**TrustRadius** 

**4.3** (1650) 

**4.2** (238) 

**3.9** (980) 

**4.4** (160) 

**4.4** (90) 

### Awards 

SelectHub awards earned by these products based on a comprehensive analysis by our research analysts. 

![Querying Award]()

![Querying Award]()

![Performance and Scalability Award]()

No awards.

![User Favorite Award]()

![Performance and Scalability Award]()

No awards.

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Chat

FAQ

Forum

Help Desk

Knowledge Base

Tickets

Training

24/7 Live Support

### Product Basics 

Company Size 

i 

Small

Medium

Large

Small

Medium

Large

Small

Medium

Large

Small

Medium

Large

Small

Medium

Large

Platforms Supported 

Windows

Mac

Linux

Android

Chromebook

Windows

Mac

Linux

Android

Chromebook

Windows

Mac

Linux

Android

Chromebook

Windows

Mac

Linux

Android

Chromebook

Windows

Mac

Linux

Android

Chromebook

Deployment Supported 

Cloud

On-Premise

Mobile

Cloud

On-Premise

Mobile

Cloud

On-Premise

Mobile

Cloud

On-Premise

Mobile

Cloud

On-Premise

Mobile

### Top Alternatives in Relational Databases 

[  Amazon Aurora ](https://www.selecthub.com/p/relational-database-solutions/amazon-aurora/) [  Amazon RDS ](https://www.selecthub.com/p/relational-database-solutions/amazon-rds/) [  Azure SQL Database ](https://www.selecthub.com/p/relational-database-solutions/azure-sql-database/) [  Firebird ](https://www.selecthub.com/p/relational-database-solutions/firebird-database/) [  Google Cloud SQL ](https://www.selecthub.com/p/relational-database-solutions/google-cloud-sql/) [  HSQLDB ](https://www.selecthub.com/p/relational-database-solutions/hsqldb/) [  IBM DB2 ](https://www.selecthub.com/p/relational-database-solutions/ibm-db2/) [  MariaDB ](https://www.selecthub.com/p/relational-database-solutions/mariadb/) [  MySQL ](https://www.selecthub.com/p/relational-database-solutions/mysql/) [  Oracle Database ](https://www.selecthub.com/p/relational-database-solutions/oracle-database/) 

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**About SelectHub (and our data)** 

We’re the employee-owned Austin-based startup democratizing software data so you can make your decisions in an influence-free zone. Our market data is crowdsourced from our user-base of 100,000+ companies.

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**Supported:**  
Fully or moderately supported out-of-the-box with industry-leading capabilities and is immediately available after installation without needing any add-ons, integrations, or custom development. 

**Not Supported:**  
Not directly available in the software, but can be accomplished using other built-in features, workarounds, or add-ons/products from the vendor at an additional cost. At most, requires additional integrations, plugins, marketplace applications from a third-party vendor, or custom development using the APIs, libraries, extensions, and development framework supported by the software, with or without any additional cost. 

[Close](#)

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